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Job Description & How to Apply Below
We are seeking a visionary and technically accomplished Technical Senior Manager – IoT for Industrials to lead the development and execution of scalable, secure, and intelligent IoT solutions across key industries—Automotive (including Software-Defined Vehicles), Manufacturing, and Aerospace.
The ideal candidate combines deep domain expertise with strategic knowledge of Cloud platforms, Cybersecurity, AI/ML, and lifecycle management technologies like Dev Sec Ops , PLM and ALM. This leadership role involves serving as a strategic advisor to executive stakeholders and technology teams, driving digital innovation, operational efficiency, and product excellence.
Key Responsibilities:
Define and have developed the industrial IoT vision, aligning digital initiatives with strategic business goals to accelerate transformation across product and operations.
Lead the design and integration of enterprise IoT architectures, including edge computing, device orchestration, sensor networks, and secure cloud ecosystems.
Architect solutions for Software-Defined Vehicles (SDVs) including connected services, OTA software updates, V2X communication, and telematics.
Integrate vehicle data with AI-powered diagnostics and mobility platforms.
Implement smart factory solutions, leveraging digital twins, predictive analytics, and real-time machine monitoring.
Enable IT/OT convergence with seamless connectivity between production systems and enterprise platforms.
Guide deployment of high-reliability IoT solutions for asset performance, predictive maintenance, and operational intelligence.
Ensure compliance with safety-critical aerospace standards and data governance models.
Drive adoption of cloud-native architectures (Azure, AWS, GCP), including scalable microservices, event-driven pipelines, and serverless computing.
Lead cloud-to-edge integration strategies for industrial automation and telemetry.
Design and enforce robust security frameworks for industrial IoT systems, covering authentication, encryption, secure provisioning, and regulatory compliance.
Create data strategies that enable real-time analytics, ML models at the edge, and enterprise-scale insights using cloud-based data lakes and AI toolsets.
Integrate IoT data with Product Lifecycle Management (PLM) and Application Lifecycle Management (ALM) systems to enhance product traceability, compliance, version control, and continuous innovation.
Partner with cross-functional teams, product owners, and third-party providers to develop end-to-end, value-driven solutions.
Mentor internal teams, lead architecture governance, and cultivate a culture of secure innovation and lifecycle thinking.
Qualifications:
Bachelor’s or Master’s degree in Engineering, Computer Science, or related field; advanced technical or business degrees preferred.
11+ years of experience in industrial IoT, embedded systems, or digital engineering, with at least 2-3 years in a senior advisory or leadership role.
Proven domain expertise in Automotive (SDVs), Manufacturing, and Aerospace environments.
Hands-on experience with IoT platforms (e.g., Azure IoT, AWS IoT, Siemens Mind Sphere, PTC Thing Worx) and cloud-native services.
Strong background in Cybersecurity, AI/ML, Data Architecture, and cloud platforms (Azure, AWS, GCP).
Deep familiarity with PLM/ALM systems (e.g., Siemens Teamcenter, PTC Windchill, IBM ELM, Polarion), and how they integrate into connected product and software ecosystems.
Solid understanding of industrial automation, edge devices, protocols (OPC-UA, Modbus, CAN), and systems integration.
Position Requirements
10+ Years
work experience
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